{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import math\n",
    "import random\n",
    "\n",
    "import numpy\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "dt = 0.001  # simulation time step\n",
    "t_rc = 0.02  # membrane RC time constant\n",
    "t_ref = 0.002  # refractory period\n",
    "t_pstc = 0.1  # post-synaptic time constant\n",
    "N_A = 32  # number of neurons in first population\n",
    "N_B = 30  # number of neurons in second population\n",
    "N_samples = 100  # number of sample points to use when finding decoders\n",
    "rate_A = 25, 75  # range of maximum firing rates for population A\n",
    "rate_B = 50, 100  # range of maximum firing rates for population B\n",
    "\n",
    "\n",
    "def input(t):\n",
    "    \"\"\"The input to the system over time\"\"\"\n",
    "    return math.sin(t)\n",
    "\n",
    "\n",
    "def function(x):\n",
    "    \"\"\"The function to compute between A and B.\"\"\"\n",
    "    return x*x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "array shape\n",
      "(100, 1)\n",
      "(32, 100)\n",
      "(32, 32)\n",
      "(32, 1)\n",
      "(32, 32)\n",
      "(32, 1)\n",
      "array shape\n",
      "(100, 1)\n",
      "(30, 100)\n",
      "(30, 30)\n",
      "(30, 1)\n",
      "(30, 30)\n",
      "(30, 1)\n",
      "8.346674496150897\n",
      "-8.346674496150897\n",
      "[[ 2.77328971  2.77328971 -2.77328971 -2.77328971  2.77328971  2.77328971\n",
      "   2.77328971 -2.77328971  2.77328971 -2.77328971  2.77328971 -2.77328971\n",
      "  -2.77328971  2.77328971  2.77328971 -2.77328971  2.77328971 -2.77328971\n",
      "   2.77328971 -2.77328971 -2.77328971 -2.77328971  2.77328971 -2.77328971\n",
      "  -2.77328971  2.77328971 -2.77328971  2.77328971 -2.77328971 -2.77328971]\n",
      " [-0.27951308 -0.27951308  0.27951308  0.27951308 -0.27951308 -0.27951308\n",
      "  -0.27951308  0.27951308 -0.27951308  0.27951308 -0.27951308  0.27951308\n",
      "   0.27951308 -0.27951308 -0.27951308  0.27951308 -0.27951308  0.27951308\n",
      "  -0.27951308  0.27951308  0.27951308  0.27951308 -0.27951308  0.27951308\n",
      "   0.27951308 -0.27951308  0.27951308 -0.27951308  0.27951308  0.27951308]\n",
      " [ 2.19603302  2.19603302 -2.19603302 -2.19603302  2.19603302  2.19603302\n",
      "   2.19603302 -2.19603302  2.19603302 -2.19603302  2.19603302 -2.19603302\n",
      "  -2.19603302  2.19603302  2.19603302 -2.19603302  2.19603302 -2.19603302\n",
      "   2.19603302 -2.19603302 -2.19603302 -2.19603302  2.19603302 -2.19603302\n",
      "  -2.19603302  2.19603302 -2.19603302  2.19603302 -2.19603302 -2.19603302]\n",
      " [ 1.98904703  1.98904703 -1.98904703 -1.98904703  1.98904703  1.98904703\n",
      "   1.98904703 -1.98904703  1.98904703 -1.98904703  1.98904703 -1.98904703\n",
      "  -1.98904703  1.98904703  1.98904703 -1.98904703  1.98904703 -1.98904703\n",
      "   1.98904703 -1.98904703 -1.98904703 -1.98904703  1.98904703 -1.98904703\n",
      "  -1.98904703  1.98904703 -1.98904703  1.98904703 -1.98904703 -1.98904703]\n",
      " [-1.45579383 -1.45579383  1.45579383  1.45579383 -1.45579383 -1.45579383\n",
      "  -1.45579383  1.45579383 -1.45579383  1.45579383 -1.45579383  1.45579383\n",
      "   1.45579383 -1.45579383 -1.45579383  1.45579383 -1.45579383  1.45579383\n",
      "  -1.45579383  1.45579383  1.45579383  1.45579383 -1.45579383  1.45579383\n",
      "   1.45579383 -1.45579383  1.45579383 -1.45579383  1.45579383  1.45579383]\n",
      " [ 7.61039748  7.61039748 -7.61039748 -7.61039748  7.61039748  7.61039748\n",
      "   7.61039748 -7.61039748  7.61039748 -7.61039748  7.61039748 -7.61039748\n",
      "  -7.61039748  7.61039748  7.61039748 -7.61039748  7.61039748 -7.61039748\n",
      "   7.61039748 -7.61039748 -7.61039748 -7.61039748  7.61039748 -7.61039748\n",
      "  -7.61039748  7.61039748 -7.61039748  7.61039748 -7.61039748 -7.61039748]\n",
      " [ 1.08306479  1.08306479 -1.08306479 -1.08306479  1.08306479  1.08306479\n",
      "   1.08306479 -1.08306479  1.08306479 -1.08306479  1.08306479 -1.08306479\n",
      "  -1.08306479  1.08306479  1.08306479 -1.08306479  1.08306479 -1.08306479\n",
      "   1.08306479 -1.08306479 -1.08306479 -1.08306479  1.08306479 -1.08306479\n",
      "  -1.08306479  1.08306479 -1.08306479  1.08306479 -1.08306479 -1.08306479]\n",
      " [ 0.45942567  0.45942567 -0.45942567 -0.45942567  0.45942567  0.45942567\n",
      "   0.45942567 -0.45942567  0.45942567 -0.45942567  0.45942567 -0.45942567\n",
      "  -0.45942567  0.45942567  0.45942567 -0.45942567  0.45942567 -0.45942567\n",
      "   0.45942567 -0.45942567 -0.45942567 -0.45942567  0.45942567 -0.45942567\n",
      "  -0.45942567  0.45942567 -0.45942567  0.45942567 -0.45942567 -0.45942567]\n",
      " [ 0.25462658  0.25462658 -0.25462658 -0.25462658  0.25462658  0.25462658\n",
      "   0.25462658 -0.25462658  0.25462658 -0.25462658  0.25462658 -0.25462658\n",
      "  -0.25462658  0.25462658  0.25462658 -0.25462658  0.25462658 -0.25462658\n",
      "   0.25462658 -0.25462658 -0.25462658 -0.25462658  0.25462658 -0.25462658\n",
      "  -0.25462658  0.25462658 -0.25462658  0.25462658 -0.25462658 -0.25462658]\n",
      " [ 0.38347967  0.38347967 -0.38347967 -0.38347967  0.38347967  0.38347967\n",
      "   0.38347967 -0.38347967  0.38347967 -0.38347967  0.38347967 -0.38347967\n",
      "  -0.38347967  0.38347967  0.38347967 -0.38347967  0.38347967 -0.38347967\n",
      "   0.38347967 -0.38347967 -0.38347967 -0.38347967  0.38347967 -0.38347967\n",
      "  -0.38347967  0.38347967 -0.38347967  0.38347967 -0.38347967 -0.38347967]\n",
      " [ 2.08596362  2.08596362 -2.08596362 -2.08596362  2.08596362  2.08596362\n",
      "   2.08596362 -2.08596362  2.08596362 -2.08596362  2.08596362 -2.08596362\n",
      "  -2.08596362  2.08596362  2.08596362 -2.08596362  2.08596362 -2.08596362\n",
      "   2.08596362 -2.08596362 -2.08596362 -2.08596362  2.08596362 -2.08596362\n",
      "  -2.08596362  2.08596362 -2.08596362  2.08596362 -2.08596362 -2.08596362]\n",
      " [ 4.18135676  4.18135676 -4.18135676 -4.18135676  4.18135676  4.18135676\n",
      "   4.18135676 -4.18135676  4.18135676 -4.18135676  4.18135676 -4.18135676\n",
      "  -4.18135676  4.18135676  4.18135676 -4.18135676  4.18135676 -4.18135676\n",
      "   4.18135676 -4.18135676 -4.18135676 -4.18135676  4.18135676 -4.18135676\n",
      "  -4.18135676  4.18135676 -4.18135676  4.18135676 -4.18135676 -4.18135676]\n",
      " [ 2.97101828  2.97101828 -2.97101828 -2.97101828  2.97101828  2.97101828\n",
      "   2.97101828 -2.97101828  2.97101828 -2.97101828  2.97101828 -2.97101828\n",
      "  -2.97101828  2.97101828  2.97101828 -2.97101828  2.97101828 -2.97101828\n",
      "   2.97101828 -2.97101828 -2.97101828 -2.97101828  2.97101828 -2.97101828\n",
      "  -2.97101828  2.97101828 -2.97101828  2.97101828 -2.97101828 -2.97101828]\n",
      " [ 1.54301018  1.54301018 -1.54301018 -1.54301018  1.54301018  1.54301018\n",
      "   1.54301018 -1.54301018  1.54301018 -1.54301018  1.54301018 -1.54301018\n",
      "  -1.54301018  1.54301018  1.54301018 -1.54301018  1.54301018 -1.54301018\n",
      "   1.54301018 -1.54301018 -1.54301018 -1.54301018  1.54301018 -1.54301018\n",
      "  -1.54301018  1.54301018 -1.54301018  1.54301018 -1.54301018 -1.54301018]\n",
      " [ 3.88541411  3.88541411 -3.88541411 -3.88541411  3.88541411  3.88541411\n",
      "   3.88541411 -3.88541411  3.88541411 -3.88541411  3.88541411 -3.88541411\n",
      "  -3.88541411  3.88541411  3.88541411 -3.88541411  3.88541411 -3.88541411\n",
      "   3.88541411 -3.88541411 -3.88541411 -3.88541411  3.88541411 -3.88541411\n",
      "  -3.88541411  3.88541411 -3.88541411  3.88541411 -3.88541411 -3.88541411]\n",
      " [ 0.61913379  0.61913379 -0.61913379 -0.61913379  0.61913379  0.61913379\n",
      "   0.61913379 -0.61913379  0.61913379 -0.61913379  0.61913379 -0.61913379\n",
      "  -0.61913379  0.61913379  0.61913379 -0.61913379  0.61913379 -0.61913379\n",
      "   0.61913379 -0.61913379 -0.61913379 -0.61913379  0.61913379 -0.61913379\n",
      "  -0.61913379  0.61913379 -0.61913379  0.61913379 -0.61913379 -0.61913379]\n",
      " [ 1.85826901  1.85826901 -1.85826901 -1.85826901  1.85826901  1.85826901\n",
      "   1.85826901 -1.85826901  1.85826901 -1.85826901  1.85826901 -1.85826901\n",
      "  -1.85826901  1.85826901  1.85826901 -1.85826901  1.85826901 -1.85826901\n",
      "   1.85826901 -1.85826901 -1.85826901 -1.85826901  1.85826901 -1.85826901\n",
      "  -1.85826901  1.85826901 -1.85826901  1.85826901 -1.85826901 -1.85826901]\n",
      " [-0.96570561 -0.96570561  0.96570561  0.96570561 -0.96570561 -0.96570561\n",
      "  -0.96570561  0.96570561 -0.96570561  0.96570561 -0.96570561  0.96570561\n",
      "   0.96570561 -0.96570561 -0.96570561  0.96570561 -0.96570561  0.96570561\n",
      "  -0.96570561  0.96570561  0.96570561  0.96570561 -0.96570561  0.96570561\n",
      "   0.96570561 -0.96570561  0.96570561 -0.96570561  0.96570561  0.96570561]\n",
      " [ 1.21041427  1.21041427 -1.21041427 -1.21041427  1.21041427  1.21041427\n",
      "   1.21041427 -1.21041427  1.21041427 -1.21041427  1.21041427 -1.21041427\n",
      "  -1.21041427  1.21041427  1.21041427 -1.21041427  1.21041427 -1.21041427\n",
      "   1.21041427 -1.21041427 -1.21041427 -1.21041427  1.21041427 -1.21041427\n",
      "  -1.21041427  1.21041427 -1.21041427  1.21041427 -1.21041427 -1.21041427]\n",
      " [ 2.74132415  2.74132415 -2.74132415 -2.74132415  2.74132415  2.74132415\n",
      "   2.74132415 -2.74132415  2.74132415 -2.74132415  2.74132415 -2.74132415\n",
      "  -2.74132415  2.74132415  2.74132415 -2.74132415  2.74132415 -2.74132415\n",
      "   2.74132415 -2.74132415 -2.74132415 -2.74132415  2.74132415 -2.74132415\n",
      "  -2.74132415  2.74132415 -2.74132415  2.74132415 -2.74132415 -2.74132415]\n",
      " [ 8.3466745   8.3466745  -8.3466745  -8.3466745   8.3466745   8.3466745\n",
      "   8.3466745  -8.3466745   8.3466745  -8.3466745   8.3466745  -8.3466745\n",
      "  -8.3466745   8.3466745   8.3466745  -8.3466745   8.3466745  -8.3466745\n",
      "   8.3466745  -8.3466745  -8.3466745  -8.3466745   8.3466745  -8.3466745\n",
      "  -8.3466745   8.3466745  -8.3466745   8.3466745  -8.3466745  -8.3466745 ]\n",
      " [ 2.00355763  2.00355763 -2.00355763 -2.00355763  2.00355763  2.00355763\n",
      "   2.00355763 -2.00355763  2.00355763 -2.00355763  2.00355763 -2.00355763\n",
      "  -2.00355763  2.00355763  2.00355763 -2.00355763  2.00355763 -2.00355763\n",
      "   2.00355763 -2.00355763 -2.00355763 -2.00355763  2.00355763 -2.00355763\n",
      "  -2.00355763  2.00355763 -2.00355763  2.00355763 -2.00355763 -2.00355763]\n",
      " [ 0.91356302  0.91356302 -0.91356302 -0.91356302  0.91356302  0.91356302\n",
      "   0.91356302 -0.91356302  0.91356302 -0.91356302  0.91356302 -0.91356302\n",
      "  -0.91356302  0.91356302  0.91356302 -0.91356302  0.91356302 -0.91356302\n",
      "   0.91356302 -0.91356302 -0.91356302 -0.91356302  0.91356302 -0.91356302\n",
      "  -0.91356302  0.91356302 -0.91356302  0.91356302 -0.91356302 -0.91356302]\n",
      " [ 0.16993586  0.16993586 -0.16993586 -0.16993586  0.16993586  0.16993586\n",
      "   0.16993586 -0.16993586  0.16993586 -0.16993586  0.16993586 -0.16993586\n",
      "  -0.16993586  0.16993586  0.16993586 -0.16993586  0.16993586 -0.16993586\n",
      "   0.16993586 -0.16993586 -0.16993586 -0.16993586  0.16993586 -0.16993586\n",
      "  -0.16993586  0.16993586 -0.16993586  0.16993586 -0.16993586 -0.16993586]\n",
      " [ 0.57080503  0.57080503 -0.57080503 -0.57080503  0.57080503  0.57080503\n",
      "   0.57080503 -0.57080503  0.57080503 -0.57080503  0.57080503 -0.57080503\n",
      "  -0.57080503  0.57080503  0.57080503 -0.57080503  0.57080503 -0.57080503\n",
      "   0.57080503 -0.57080503 -0.57080503 -0.57080503  0.57080503 -0.57080503\n",
      "  -0.57080503  0.57080503 -0.57080503  0.57080503 -0.57080503 -0.57080503]\n",
      " [-8.05339645 -8.05339645  8.05339645  8.05339645 -8.05339645 -8.05339645\n",
      "  -8.05339645  8.05339645 -8.05339645  8.05339645 -8.05339645  8.05339645\n",
      "   8.05339645 -8.05339645 -8.05339645  8.05339645 -8.05339645  8.05339645\n",
      "  -8.05339645  8.05339645  8.05339645  8.05339645 -8.05339645  8.05339645\n",
      "   8.05339645 -8.05339645  8.05339645 -8.05339645  8.05339645  8.05339645]\n",
      " [ 1.63800023  1.63800023 -1.63800023 -1.63800023  1.63800023  1.63800023\n",
      "   1.63800023 -1.63800023  1.63800023 -1.63800023  1.63800023 -1.63800023\n",
      "  -1.63800023  1.63800023  1.63800023 -1.63800023  1.63800023 -1.63800023\n",
      "   1.63800023 -1.63800023 -1.63800023 -1.63800023  1.63800023 -1.63800023\n",
      "  -1.63800023  1.63800023 -1.63800023  1.63800023 -1.63800023 -1.63800023]\n",
      " [ 1.61336346  1.61336346 -1.61336346 -1.61336346  1.61336346  1.61336346\n",
      "   1.61336346 -1.61336346  1.61336346 -1.61336346  1.61336346 -1.61336346\n",
      "  -1.61336346  1.61336346  1.61336346 -1.61336346  1.61336346 -1.61336346\n",
      "   1.61336346 -1.61336346 -1.61336346 -1.61336346  1.61336346 -1.61336346\n",
      "  -1.61336346  1.61336346 -1.61336346  1.61336346 -1.61336346 -1.61336346]\n",
      " [-0.26514094 -0.26514094  0.26514094  0.26514094 -0.26514094 -0.26514094\n",
      "  -0.26514094  0.26514094 -0.26514094  0.26514094 -0.26514094  0.26514094\n",
      "   0.26514094 -0.26514094 -0.26514094  0.26514094 -0.26514094  0.26514094\n",
      "  -0.26514094  0.26514094  0.26514094  0.26514094 -0.26514094  0.26514094\n",
      "   0.26514094 -0.26514094  0.26514094 -0.26514094  0.26514094  0.26514094]\n",
      " [ 1.39829877  1.39829877 -1.39829877 -1.39829877  1.39829877  1.39829877\n",
      "   1.39829877 -1.39829877  1.39829877 -1.39829877  1.39829877 -1.39829877\n",
      "  -1.39829877  1.39829877  1.39829877 -1.39829877  1.39829877 -1.39829877\n",
      "   1.39829877 -1.39829877 -1.39829877 -1.39829877  1.39829877 -1.39829877\n",
      "  -1.39829877  1.39829877 -1.39829877  1.39829877 -1.39829877 -1.39829877]\n",
      " [-3.02576349 -3.02576349  3.02576349  3.02576349 -3.02576349 -3.02576349\n",
      "  -3.02576349  3.02576349 -3.02576349  3.02576349 -3.02576349  3.02576349\n",
      "   3.02576349 -3.02576349 -3.02576349  3.02576349 -3.02576349  3.02576349\n",
      "  -3.02576349  3.02576349  3.02576349  3.02576349 -3.02576349  3.02576349\n",
      "   3.02576349 -3.02576349  3.02576349 -3.02576349  3.02576349  3.02576349]\n",
      " [-5.73063831 -5.73063831  5.73063831  5.73063831 -5.73063831 -5.73063831\n",
      "  -5.73063831  5.73063831 -5.73063831  5.73063831 -5.73063831  5.73063831\n",
      "   5.73063831 -5.73063831 -5.73063831  5.73063831 -5.73063831  5.73063831\n",
      "  -5.73063831  5.73063831  5.73063831  5.73063831 -5.73063831  5.73063831\n",
      "   5.73063831 -5.73063831  5.73063831 -5.73063831  5.73063831  5.73063831]]\n",
      "[1.2346940880689974, 0.443580555878249, 1.0493707384654405, 2.1129766198959548, 0.34897781064174577, 0.48071557025558387, 0.2650163979273, 0.1891540110182583, 0.6349573866767126, 0.28298594413782385, 0.32089492705017536, 0.5841465406890144, 0.8713368204850166, 5.109062685737167, 3.8444830380858948, 1.0129814332423246, 0.8976064889486222, 0.2895666227936782, 6.357606299775959, 0.2933291705615815, 2.0493029027251857, 3.4457445598502376, 0.7580795545811285, 0.9193679303988965, 0.7400432794799389, 1.0090488101839858, 0.2692371688786649, 1.6616404879567406, 1.0026140097252612, 0.41422748893117656, 0.8042430284506983, 0.1415677816886921]\n",
      "[0.9111214556380329, 1.0403165263138736, 0.8152773978793836, -0.5913864966324265, 0.9346186882245797, 0.7330534011020227, 1.0673904001561154, 1.1096384158473702, 0.8062046602248452, 1.1411882395168687, 1.0030804020978792, 1.0016450771487326, 1.1497497962354706, -3.1301410563535104, -1.578972590015983, 0.8362244964058904, 0.8236566208914178, 1.2379473711201374, -4.836804998477192, 1.046871949244795, 0.21362622015586397, -1.2574919658437764, 1.0961257505481525, 0.6650580162638692, 1.3904960102172181, 0.6100714071974913, 1.014874148779168, 0.5990776503965134, 1.2955095226261386, 1.1195224231680287, 1.3579796460051066, 1.1399533636629635]\n"
     ]
    }
   ],
   "source": [
    "# create random encoders for the two populations\n",
    "encoder_A = [random.choice([-1, 1]) for i in range(N_A)]\n",
    "encoder_B = [random.choice([-1, 1]) for i in range(N_B)]\n",
    "\n",
    "\n",
    "def generate_gain_and_bias(count, intercept_low, intercept_high, rate_low, rate_high):\n",
    "    gain = []\n",
    "    bias = []\n",
    "    for _ in range(count):\n",
    "        # desired intercept (x value for which the neuron starts firing\n",
    "        intercept = random.uniform(intercept_low, intercept_high)\n",
    "        # desired maximum rate (firing rate when x is maximum)\n",
    "        rate = random.uniform(rate_low, rate_high)\n",
    "\n",
    "        # this algorithm is specific to LIF neurons, but should\n",
    "        # generate gain and bias values to produce the desired\n",
    "        # intercept and rate\n",
    "        z = 1.0 / (1 - math.exp((t_ref - (1.0 / rate)) / t_rc))\n",
    "        g = (1 - z) / (intercept - 1.0)\n",
    "        b = 1 - g * intercept\n",
    "        gain.append(g)\n",
    "        bias.append(b)\n",
    "    return gain, bias\n",
    "\n",
    "\n",
    "# random gain and bias for the two populations\n",
    "gain_A, bias_A = generate_gain_and_bias(N_A, -1, 1, rate_A[0], rate_A[1])\n",
    "gain_B, bias_B = generate_gain_and_bias(N_B, -1, 1, rate_B[0], rate_B[1])\n",
    "\n",
    "\n",
    "def run_neurons(input, v, ref):\n",
    "    \"\"\"Run the neuron model.\n",
    "\n",
    "    A simple leaky integrate-and-fire model, scaled so that v=0 is resting\n",
    "    voltage and v=1 is the firing threshold.\n",
    "    \"\"\"\n",
    "    spikes = []\n",
    "    for i, _ in enumerate(v):\n",
    "        dV = dt * (input[i] - v[i]) / t_rc  # the LIF voltage change equation\n",
    "        v[i] += dV\n",
    "        if v[i] < 0:\n",
    "            v[i] = 0  # don't allow voltage to go below 0\n",
    "\n",
    "        if ref[i] > 0:  # if we are in our refractory period\n",
    "            v[i] = 0  # keep voltage at zero and\n",
    "            ref[i] -= dt  # decrease the refractory period\n",
    "\n",
    "        if v[i] > 1:  # if we have hit threshold\n",
    "            spikes.append(True)  # spike\n",
    "            v[i] = 0  # reset the voltage\n",
    "            ref[i] = t_ref  # and set the refractory period\n",
    "        else:\n",
    "            spikes.append(False)\n",
    "    return spikes\n",
    "\n",
    "\n",
    "def compute_response(x, encoder, gain, bias, time_limit=0.5):\n",
    "    \"\"\"Measure the spike rate of a population for a given value x.\"\"\"\n",
    "    N = len(encoder)  # number of neurons\n",
    "    v = [0] * N  # voltage\n",
    "    ref = [0] * N  # refractory period\n",
    "\n",
    "    # compute input corresponding to x\n",
    "    input = []\n",
    "    for i in range(N):\n",
    "        input.append(x * encoder[i] * gain[i] + bias[i])\n",
    "        v[i] = random.uniform(0, 1)  # randomize the initial voltage level\n",
    "\n",
    "    count = [0] * N  # spike count for each neuron\n",
    "\n",
    "    # feed the input into the population for a given amount of time\n",
    "    t = 0\n",
    "    while t < time_limit:\n",
    "        spikes = run_neurons(input, v, ref)\n",
    "        for i, s in enumerate(spikes):\n",
    "            if s:\n",
    "                count[i] += 1\n",
    "        t += dt\n",
    "    return [c / time_limit for c in count]  # return the spike rate (in Hz)\n",
    "\n",
    "\n",
    "def compute_tuning_curves(encoder, gain, bias):\n",
    "    \"\"\"Compute the tuning curves for a population\"\"\"\n",
    "    # generate a set of x values to sample at\n",
    "    x_values = [i * 2.0 / N_samples - 1.0 for i in range(N_samples)]\n",
    "\n",
    "    # build up a matrix of neural responses to each input (i.e. tuning curves)\n",
    "    A = []\n",
    "    for x in x_values:\n",
    "        response = compute_response(x, encoder, gain, bias)\n",
    "        A.append(response)\n",
    "    return x_values, A\n",
    "\n",
    "\n",
    "def compute_decoder(encoder, gain, bias, function=lambda x: x):\n",
    "    # get the tuning curves\n",
    "    x_values, A = compute_tuning_curves(encoder, gain, bias)\n",
    "\n",
    "    # get the desired decoded value for each sample point\n",
    "    value = numpy.array([[function(x)] for x in x_values])\n",
    "\n",
    "    # find the optimal linear decoder\n",
    "    A = numpy.array(A).T\n",
    "    Gamma = numpy.dot(A, A.T)\n",
    "    Upsilon = numpy.dot(A, value)\n",
    "    Ginv = numpy.linalg.pinv(Gamma)\n",
    "    decoder = numpy.dot(Ginv, Upsilon) / dt\n",
    "    \n",
    "    print(\"array shape\")\n",
    "    print(value.shape)\n",
    "    print(A.shape)\n",
    "    print(Gamma.shape)\n",
    "    print(Upsilon.shape)\n",
    "    print(Ginv.shape)\n",
    "    print(decoder.shape)\n",
    "    \n",
    "    return decoder\n",
    "\n",
    "\n",
    "# find the decoders for A and B\n",
    "decoder_A = compute_decoder(encoder_A, gain_A, bias_A, function=function)\n",
    "decoder_B = compute_decoder(encoder_B, gain_B, bias_B)\n",
    "\n",
    "# compute the weight matrix\n",
    "weights = numpy.dot(decoder_A, [encoder_B])\n",
    "print(weights.max())\n",
    "print(weights.min())\n",
    "print(weights)\n",
    "print(gain_A)\n",
    "print(bias_A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0.0\n",
      "0.001 0.0\n",
      "0.5000000000000003 -0.017658605866737447\n",
      "1.0000000000000007 -0.0043814406368072045\n",
      "1.5009999999999455 0.012218566711816434\n",
      "2.0009999999998906 -0.004305386371817759\n",
      "2.5009999999998356 -0.005299466594148233\n",
      "3.0009999999997805 -0.00366487488394256\n",
      "3.5009999999997254 0.004782548280064618\n",
      "4.000999999999671 0.02544266875151349\n",
      "4.500999999999838 0.028959848683911302\n",
      "5.000000000000004 -0.009694496674548029\n",
      "5.500000000000171 -0.0011768271664401762\n",
      "6.000000000000338 -0.00898423552093324\n",
      "6.500000000000505 0.01983318364271119\n",
      "7.000000000000672 0.012041315783066171\n",
      "7.500000000000839 -0.004667502139232745\n",
      "8.000000000001005 0.05672827532311867\n",
      "8.500000000000728 0.0017711409052570196\n",
      "9.000000000000451 0.0006151676916804783\n",
      "9.500000000000174 0.011789397180542754\n"
     ]
    }
   ],
   "source": [
    "v_A = [0.0] * N_A  # voltage for population A\n",
    "ref_A = [0.0] * N_A  # refractory period for population A\n",
    "input_A = [0.0] * N_A  # input for population A\n",
    "\n",
    "v_B = [0.0] * N_B  # voltage for population B\n",
    "ref_B = [0.0] * N_B  # refractory period for population B\n",
    "input_B = [0.0] * N_B  # input for population B\n",
    "\n",
    "# scaling factor for the post-synaptic filter\n",
    "pstc_scale = 1.0 - math.exp(-dt / t_pstc)\n",
    "\n",
    "# for storing simulation data to plot afterward\n",
    "inputs = []\n",
    "times = []\n",
    "outputs = []\n",
    "ideal = []\n",
    "\n",
    "output = 0.0  # the decoded output value from population B\n",
    "t = 0\n",
    "while t < 10.0:  # noqa: C901 (tell static checker to ignore complexity)\n",
    "    # call the input function to determine the input value\n",
    "    x = input(t)\n",
    "\n",
    "    # convert the input value into an input for each neuron\n",
    "    for i in range(N_A):\n",
    "        input_A[i] = x * encoder_A[i] * gain_A[i] + bias_A[i]\n",
    "\n",
    "    # run population A and determine which neurons spike\n",
    "    spikes_A = run_neurons(input_A, v_A, ref_A)\n",
    "\n",
    "    # decay all of the inputs (implementing the post-synaptic filter)\n",
    "    for j in range(N_B):\n",
    "        input_B[j] *= 1.0 - pstc_scale\n",
    "    #     input_B[j] *= 0.0\n",
    "    # for each neuron that spikes, increase the input current\n",
    "    # of all the neurons it is connected to by the synaptic\n",
    "    # connection weight\n",
    "    for i, s in enumerate(spikes_A):\n",
    "        if s:\n",
    "            for j in range(N_B):\n",
    "                input_B[j] += weights[i][j] * pstc_scale\n",
    "\n",
    "    # compute the total input into each neuron in population B\n",
    "    # (taking into account gain and bias)\n",
    "    total_B = [0] * N_B\n",
    "    for j in range(N_B):\n",
    "        total_B[j] = gain_B[j] * input_B[j] + bias_B[j]\n",
    "\n",
    "    # run population B and determine which neurons spike\n",
    "    spikes_B = run_neurons(total_B, v_B, ref_B)\n",
    "\n",
    "    # for each neuron in B that spikes, update our decoded value\n",
    "    # (also applying the same post-synaptic filter)\n",
    "    output *= 1.0 - pstc_scale\n",
    "    for j, s in enumerate(spikes_B):\n",
    "        if s:\n",
    "            output += decoder_B[j][0] * pstc_scale\n",
    "\n",
    "    if t % 0.5 <= dt:\n",
    "        print(t, output)\n",
    "    times.append(t)\n",
    "    inputs.append(x)\n",
    "    outputs.append(output)\n",
    "    ideal.append(function(x))\n",
    "    t += dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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nbdePm6EVgZ2orDLx228SCAvy57mJ/YyLJ3dA+k7DU8jS6eErxTfAaPP4JmNlAPz2pmjatfLj90sTMemZkcHWt8AnEEY8ZNt2+02Bjv3hx38Zfu4a3lidyrniMv5y60C8vcSw5e/6L8TeDiG9bNvZNf9ntL9vIQAzh3fl6l4deG1VKrlFZbbty03QisBOfLItjeSMAv5wcwxB1bGAtr4Fge1hqA32BuozfC74BcGODwBo28qX56dEsTstj6/3ptu+P1ejMBMOLDI++9YdbNu2l5cxy81KMJSxhxN/6jwLdqQxZ3QksV3aGhf3LYCKYtuuBqrpfpVhntv2H6iqRET404wYissqeW2VDgViCa0I7EBecTn/WneIsf1CmRIbYb54Ag5+D3EPGAfCbE1AMAy+y3BlLD4LwMxhXRnWvR2vrjxIQWmF7ft0JXb/D6oq4OrHW6b92NuNvYddH7dM+y6CUoqXlyfTsY0/z04wr4RNJuNz6X41RAxsmY5HP2GY5w6vBqBveBAPXNuTL3efYt/JvJbp04XRisAO/GfDEYrLKnnhpuiLYaL3fmrYk+Pub7mORz4EVeWw9xMAvLyEP06PJbe4nPc3HW25fp2dqkrj8+89zvZmiWp8A2DYvYayLzjTMn24AKuTMtmTlsezE/pdXAkf/QHyjhsebi1F/6kQ1MlQ+Gb+b3xfOrbx568rDuqzBfXQiqCFOZlbwqfbTnDH8G70jwgyLlZVGEvjvpOgbZeW6zy0v3HIZtd/azxYBnZty/TBnfn4x+NkFXholNLDa4xsY3E/b9l+hv8clMlIbOOBVFSZ+NuqVPqGteGO4bW8gnZ9BK1DDVfPlsLbB4bdB0fWGUEEgdb+Pjx1Y192njjHhtTsluvbBdGKoIV5fU0qPl5ePFu9QQzGAbKirCs7Tt9URj4EBelwZG3NpV9O7E+VSXmuO+me/0GbCCPLWEsS0hP63Ah75hnK38P4fOdJjp8t5vkpUfhUp5U8fxIOrYJhc8CnhQMiDrvPWHXvvaiI7xrRjcgOrfjbylTtTloLrQhakOQzBSzbf4YHx/QkPLhWELk984xwEn0ntLwQ/SZDq44Qv7DmUvcOrZg9qgeLdp/iSLaHBeY6fxIOrzXMNt52SOATdz8UZRp9ehAXyqt4a/0RRvUMYVxU2MWC+M+Mx+FzWl6Itl2NVffe+TWK2Nfbi19NiiI1q5BvtNNEDVoRtCD//uEwQQE+PDimlh06L82wkQ67z7Yuo9bw9oVBd0LqKiPCppknx/XBz9uLtzccaXkZnIl9C4zHYffZp7++EwxFvP8z+/TnJHy28yRni8p4bmL/i/tiSsH+z6HnGGhnp7zjw+dCcbZhDjRz08AIBnZpy79/OEJllQ4QCFoRtBgHMwtYmZjJz6/pWTex/IEvAWWbcBKNZcjdRsatxMU1lzq08eeeq7qzNP40J84W208WR6IU7P8Cel1nv4HI2xcG/cxQxCWekT2rtKKK9zYd5apeIYzsWStsx8nthrfc4LvtJ0yfG439iP1f1FwSEZ4Y14eT50r4br/nbuTXxlYZyiaLSKqIHBGR5y2U/0pE4s1/iSJSJSIh5rITIpJgLnOPbDPAv384Qht/H+6/JvLiRaUMRRA5Btp1s58wEbHQafDF2bCZh8b2wtfbi3c2esiq4NROw6Vw0J327XfwLLMi/tq+/TqIL3edIqewjKfG96tbsP8z8G3dspvE9fH2MYIBHlplHDIzMyE6nKiIIP6z4YjeK8AGikBEvIG3gSnAAGCWiNSJ5auUel0pNUQpNQT4DbBJKVV7enSDubxB5hxX5HBWISsSMpgzugftWtVKt3dmn5HsfOAd9hdqyD2QeQAyE2ouhQUFMGtkd77Ze5r0PA8IynXgS+MksT0HIjCiaoYPvGgfd2PKKqt4d+NRRkaGcFWvWquBiguQ9C0MmGG7cB6NZfCdhht10pKaS15exqrgWE4xKxIy7CuPE2KLFcFI4IhS6phSqhz4AphxiftnAZ/boF+n5d2NRwn09eaBa+v5qB9YBN5+xo/B3gycCV4+hgy1eHhsL0TgPXc/V1BZbhyui5pqhJy2N0NmwZm9kH3Q/n3bkW/2niazoJQnx/e5uDcAxnmKsgLjc7A3nYYYIT/2f1nn8pTYTvQObc3bG454/LkCWyiCLkDtgN/p5msNEJFWwGSg9hpZAWtEZI+IPGytExF5WER2i8junBznTU6dmV/Kd/vPcOeIboS0rrUaqKo0bPT9Jht5A+xNqxDoPd6YFdXKoNW5XSC3De3K4j3pnCt24xj6R9YapgF7m4WqGXgHiFedfRp3w2RSfPzjcWK7BHNtn451Cw8sgrbdoMe19hdMxDhlf2o7nDtWc9nbS3js+j4czCxk8+Gz9pfLibCFIrCUUsiaer0Z+KmeWegapdQwDNPS4yIy1lJFpdQHSqk4pVRcaGho8yRuQT7ZdgKTUvx8dM+6Bcc3QnGOsXHoKGJvh/xTkL6rzuUHxvSktMLEZzvSHCSYHTjwpeG903ucY/pvE2bsDSV+47aB6DYdyuFIdhEPXtur7mqgtACObTBWwleSBtQWVP/uEuoq4psHdyI0yJ+PfzzuAKGcB1v8V9KB2jufXQFrW/F3Uc8spJQ6Y37MBpZgmJpckuKyShZuT2NSTATdO9TLNHZgkZHOsO9ExwgH0H8K+AQ02LTsFx7Edf1C+WRbmnsmryktMLx2Ym+3Tc6HKyX2Njh31NircUM++vEYEcEBTB3UqW7BkbWGjT5qmmMEA+NMQfer6+wTAPj7eDPn6h5sPpRDamahg4RzPLZQBLuAviLSU0T8MAb77+rfJCJtgeuApbWutRaRoOrnwEQg0QYyOYSv96ZTUFrJg2PqrQYqSg0b6YAZLX+a8lIEBBuKKPlbMNUd8B8c05OcwjKW7XfDjbPDa6CqzBiIHUn0dBBvY1XgZiSfKeCnI7nMvSYSX+96w0rKMmgdBt0cPMcbcIuRBCqnbgTSu0f1IMDXi/968Kqg2YpAKVUJPAGsBlKARUqpJBF5VEQerXXrrcAapVRtp/Vw4EcR2Q/sBL5XSq1qrkyOoMpsHx3SrR3DurevW3h8k5E1KXq6Y4SrTeztRniLtJ/qXL62T0f6hwfx8Y/H3W/jrHog6urggahVCPS63ti0drPP+OMfj9PKz5tZI+qdz6goNU5VR91knwOUl2LAdEAM76VahLT24/ZhXVkSf5qzHpqvwCYGO6XUCqVUP6VUb6XUn83X3lNKvVfrnnlKqbvq1TumlBps/oupruuK/HAwm7TcEh4c07OufRSMgcgvCHpa3P6wL30ngl+bBuYhEeGBa3uSklHAtqO5Viq7IBWlRuCxqJscZ5+uTextRpiL03sdLYnNyC4s5bv9p/lZXDfatqoXtuPYRvMkyM4uu5YI7myYhyxkjrv/2p6UV5pYuN0zs5g5wS/DPViwPY3wYH8mx0TULTBVGUHm+k10rFmoGr9WRiq/5KUNAqFNH9KZ9q18WeBOm8bVA1GUEwxEYLivevkaqwI34avd6VRUKe67ukfDwoPLwL8tRDrBJAgg5haL5qHeoW0Y2y+Uz3ee9MiwE1oR2ICTuSVsPpzDXSO6X4yyWFO4HUrOOnajrD4xtxiulPXMQwG+3twR1401SVlku0uI6oPLwD/YOVZjYGSk69PQjddVqTIpPttxkmv6dKBXaL2DYlWVcHCFeRLkZ7kBexNt2TwEcM+o7mQWlLL+oOeFqNaKwAZ8tvMkXiLMGmkhfs3B5eDtb59Io42l9zjwbWWYrOoxa2R3Kk2KL3edslDRxaiqNFZjfZ1oIAJj07LgtHHS3MXZdCib0+cvMHuUhdXAyW1w4ZxzmIWqCe4EPUY38B4CGBcVRqe2ASzY7kYr4kaiFUEzKaus4qvdpxgfFUZE24C6hUpBynJjg9ARp1mt4RtoBONKWd5gVtqzY2vG9O3I5ztPun4MllPboSQXop1oNQbQb5LhPXSwoSJ2NRZsP0lokD8TBoQ3LExZZrgr97nR/oJdigG3QE5KA/OQj7cXd43ozpbDZz0nEKMZrQiayarETHKLy7nnKgszoswDkH/S+QYiMJbIRZlwumGcv9mjunMmv5QfXH2JnGJejfVxotUYGN5Dkdca8rkw6XklbEjN5q4R3Rq6jCplrIZ7j2+ZnNzNoXqFYmFFfNfIbnh7CZ/v9KxNY60ImsnCHSfp0aFVwyP1YJwdEC9jc9bZ6DfR2LS08GMYHx1OWJA/C11507hmILrB/kHOGkP0zZB7uMGs1JX4fOdJBCybRM/sNcxfzjgJCu4EXeKM32c9woMDmDggnEW7T1Fa4YaHK62gFUEzOJxVyM7j57h7ZHe8vCxE2khZbrirtbagJBxNQFsjLn/KsgY+7b7eXtw1sjubDuVw6pyLRiXN2G+E03CmTfraRE01HlManL10CSqqTHy5K51xUeF0bhfY8IaU5Yb5q6XTgV4pUVMNZZV/ukHR7FE9yCupYFVipgMEcwxaETSDRbtP4eMlzKydmLuac8cgO8l5ByIwZqV5xyErqUHRz+KM9/S1q6bzO7jcvBqb4mhJLBPc2ZiVuqh5aMPBbM4WlXH3KCt5NVKWGeavViGWyx1N9e8ydUWDotG9O9AtJJCv9riBw0Qj0YrgCqmoMrFk3xnGR4fRoY2F8wHVP/DqmZ8z0n8qIBbNQ13bt2J07w4s3pOOyRU3jVOWQ/fRzrkaqyZ6GmTEw3nXG3C+2pNOaJA/Y/taCACZk2qYvZzJW6g+of2gQ19jwlAPLy9h5rBubD2a6xl5OtCK4IrZlJrD2aIyZg63MiM6uBwiBkJ7C5vIzkKbUMN0ZeHHAHDH8G6k511g+3EXO2mce9TwCnFG+3Rtqg+5WbBVOzNni8rYcDCb24Z2aXhuBi6au5x5EgTG9+PEj3Uyl1Vz27AuKAVf72loOnJHtCK4QhbvSadjGz+u729hRlSYZaRFdJbTrJci+mbISjQGz3pMiokgyN+HxbtdzDxUvcJx9oGoYx8IjbKqiJ2VpfFnqDQpbrdkEgVjNdZ1hGH+cmaipoGp0oiFVI9uIeYV8d5TrrkibiJaEVwB54rLWX8wi1uGdGnoNgeQ+j2gnH9GChdltDAYBfp5M21wZ1YkZlBYWtGg3Gk5uNzI0WyvBPXNIWqaccK72DUSoyil+Gr3KQZ3bUu/cAtnY86fNMxdzrw3Vk3nYdAmwvqKOK4rp85dYMfxcxbL3QmtCK6ApfGnqahSzIy7xIyofU8IG2C53Jlo1x0iBlndtLwjriulFSbXyetakGEk3nGF1RgYiliZjBPQLkDSmQIOZhYyM86aSdRs5nLm/YFqvLyMYISH1xk5lesxOaYTQf4+HrFprBXBFfDV7nQGdmlLVERww8LSfDi+2fiB149C6qxE32wMnoUN3eWGdmtH79DWfOUq5qHU6oHIBWakYOTTbdvNZfYJFu9Jx8/bi+mDrJh9UpYZE6AOve0r2JUSNQ0qiuHYpgZFxoq4EysTMikqq3SAcPZDK4ImknQmn+SMAssuowCH1oCpwnVmpGBexiuLrnQiwh1x3didlsexnCL7y9ZUUpZDSG/D9u4KiBh7GUd/gDLn/nzLK00sjT/NhJjwhuGmAYpyjPhCrrAaqCZyjBGU0Ip5aObwblyoqGLFARdZEV8hWhE0ka/3nDZmRIOtzIgOLoc24cZmmasQFm2YsqyYh24d2gURY5PQqblwHk5sca3VGBiKoKoMjq53tCSX5IeD2eSVVFifBKWuMMxcrrA/UI2PnxGUMHVlg6x9AMO6t6Nnx9Z8G+/e3kM2UQQiMllEUkXkiIg8b6H8ehHJF5F489/vG1vXmagyKZYdOMP1/UNp39pCNMvqJCj9nSQJSmMRMQbP45sN01Y9woMDGN27A0vjTzt39rLDawwvEFdajYFx3iEwxOkPly2NP03HNn6MsRROBYxJULsehtu0KxE11QgVf2pHgyIRYfrgzmw7lktmvpuEZrdAs0crEfEG3gamAAOAWSJiaZd0i1JqiPnvT02s6xRsP5ZLTmEZtwztYvmGmmxMLjQjqibqZsOkZcGVDmDG4C6cyC3hQHpDReE0pCwzvEC6DHe0JE3D28c4AX1odYNkQc5CYWkF6w9mM21QZ8tnB0oLjO9/9M2utRoDI0S8t5/VfZoZQzqjFCw/4OQr4mZgi2nrSOCIOe1kOfAFMMMOde3Od/FnaOPvw7ioMMs3VCdBcZZsTE2h6wgjr6+FU8YAk2Ij8PP2ct4lcsUFc0rKqa61GqsmaiqU5RumLSdkdVIW5ZUmpg+xYhI9vAaqyl3LLFSNf5ARKt5C3C2AXqFtGNS1rfN+922ALX4xXYDa/lXp5mv1uVpE9ovIShGJaWJdRORhEdktIrtzcnJsIHbTKKusYkViBhNjwgnwtZCE21mToDSWale6I+sME1c92gb6Mi4qjGX7M5wzT8HRDVBR4vyHyKxRkyzIOc1DS+NP0y0kkKHd2lm+IWWZMZHoNtKuctmMqKlwPs1i3C2A6YM7k3i6gCPZzr2hf6XYQhFYWgfWHyn2Aj2UUoOBfwPfNqGucVGpD5RScUqpuNBQC6d5W5iNqTkUllYyY4gVs5CzJkFpClE3G6at4w1d6cBYIp8tKnPO5PYHl5tz445xtCRXhm+goQxSVzhdCsucwjJ+OnKW6YM7I5bMPhWlhkkx6ibwsjBJcgX63wSIVe8h473Dd/vd0zxkC0WQDtQ+XdIVqPNpKaUKlFJF5ucrAF8R6diYus7Cd/vP0KG1H9f07mD5BmdNgtIUeo41TFtWzEM3RIUR5O/jfEvk6tVYv0muuRqrJvpmKMwwwiM7ESsSMjAprE+Cjm0wfPFdyW20Pm3CoNsoq4ogzFUcJq4QWyiCXUBfEekpIn7AXUCdIOsiEiHmqYSIjDT3m9uYus5AUVkl65KzmDqok+WNMmdPgtJYLuNKF+DrzeTYCFYlZjpX0o6TW825cV14NQbGZy/eThd7aGn8aaIigiyHlABjEuTf1jX3xmoTPQ0yEyDPckKmGUO6kJZbwn5ndpi4QpqtCJRSlcATwGogBViklEoSkUdF5FHzbTOBRBHZD7wF3KUMLNZtrky2Zk1SJmWVJmZY2yhz9iQoTaHale7kdovFtwztQlFZpXOlsUxZ7py5cZuKE6awPJlbwt6T561vEldVGuYsV1+NwcVMgla8hybHRuDn48VSZ1sR2wCbuFcopVYopfoppXorpf5svvaeUuo98/P/KKVilFKDlVJXKaW2Xqqus/Hd/jN0aRfIsO7tLd/g7ElQmkLfCYaJy8qP4apeHQgN8neeH4NShqy9xzlfbtwrIWqaOYXlIUdLAsAys8vkzdZCSrjLagyMsBhhA6x+94MDfBnX34kdJpqBC/rZ2ZfcojK2HD7L9CFWNsrA+OI4exKUxlLtSnfQsiudt5cwdWAnNqTmOEf8lTP7oCDdPVZjYGy4gvH5OwFL408T16M93UJaWb4hZZl7rMaqiZpmKDcr0WBvHmw4TOx0s4ikWhFchpWJmVSZlPWQErlHITvZPWZE1URPM8IJZyZYLJ46qBPllSbWp2TZWTALHDTnxnWH1RhA267QeahTBKFLzSzkUFaRdbOQyWSYsXqPd4/VGBimUWWCQ6ssFt8QFUqAr5frRONtJFoRXIYVCRn0Dm1NVIS1jbLqJChupAj6TTFMXVY2LYd3b094sL9z/BhSlkGP0c6bG/dKiJoGp/dAgWMd6FYkZCBi2MYtcmYfFJ5xbW+h+nQafMlosK38jAOl1RNEd0ErgkuQW1TG9mO53DSwk3WzUMoyYwbXzkp8dlekTSh0u8rqj8HLS5gS24mNqTkUO9I8lJMKZw/BAKc9jH5lVE8qHLwqWJmYwYjIEMKCAizfcHCZsRrrN8m+grUktaPBlhdbvGXqQPczD2lFcAnWJGdhUjAltpPlG/JPw+nd7jUjqiZ6mpHC8txxi8U3DexEWaWJ9Y70HnKV3LhNJbQ/dOjjUDfSI9mGWegma6sBpSD5O+g5xr1WY2B8nypL4YjlaLDuaB7SiuASrEjIILJDK6I7WTEL1WRjmm4/oexF9eBqZTCK69GesCB/vndkIK6UZa6RG7epiBirAiuJ1e3BigQjSdGUgVYmQdnJcO6oe373u4+GwPZWv/vuaB7SisAKecXlbD2ay5RLmoW+MxKgdOxrX+HsQftICB94SfPQTQMdaB7KO2Gc33DHgQguJlY/tMYh3a9IyCCuR3vCg62YhZK/A8S99saq8fYx9skOrbIaDfamgZ3cyjykFYEV1iZnUWVSTLU2IyrONZKOu6NZqJroacbBsiLL5h+HmoeqD125k7dWbboMv2Ri9ZbkWE4RBzMLra8GwJgEdb8agsLtJ5g9iZ5m5OY48aPF4nFRYW5lHtKKwArfJ2TQLSSQmM4W8hLDxWxM7qwILpHCEi6ahxySxi9lmbFiCell/77tQZ1osA0Tq7ckKxPNZiFr+wNnjximoQFuuhoD6HUD+ARe0nvohv7uYx7SisAC+SUV/HTkLDfFXsZbqF13iBhkX+HsSXiMkXHKSsgDw3sogg2p2fY1DxVmGtmk3FkJgzmxeomR8MWOrEjIYGj3dnRuF2j5hpSlxqM7f/5+raDPeEMRWAkyN3WQ+5iHtCKwwNqULCpNyvrSuLTAiLgYPd31sjE1BRHjx358k/GeLVBtHrJr7KGD3wPKvQciMCdWb2vX2ENpucUknSngJmuecmDsD3QZbhx+c2eiphnnJKxEg3Un85BWBBZYmZBBl3aBDO7a1vIN1dmY3H0gAuPHUFUORyynsIyLDDF7D9nxx5DyneFeGRZtvz4dgY8f9JtomOaq7LPiuugtZMUslJcGGfHuu0lfm36TwMsHkpdaLHYn85BWBPUoKK1gy+GzTImNsG4WSlpibOR1HWFf4RxBt5HQOtTqrNTbS5gUE8GmQzn2CU1dnAvHt7hmbtwrIWqqEdTt5Da7dLcyMYPBXdvStf0lYguBe+8PVNMqxAhmmPiNVfPQ5NgIzhaVsfekndx8K8tapFmtCOqxPiWL8irTJcxC+UY2pphbXTcbU1PwMsfxObzW6pdwUkwEFyqq2HzIDilEk78FVQWxt7d8X85A34lGCsukb1q8q1PnSjiQnn9pb6HkpRDhxpv09Ym93Qgxn77LYvG4qDD8vL1Ybd5gb1HOHobXesPhdTZvWiuCeqxIyCQiOMB6btaD30NVGQycaVe5HEr0dCgvtHrSclSvENoG+rIqyQ4/hsSvoWM/CI9t+b6cAb/WhiJO+taqT7utWJlomPes7g/knYD0nRBzW4vK4VT0v8kIy574tcXioABfRvfpwOrkzJbPXJb4jZFKNnyAzZu2iSIQkckikioiR0TkeQvls0XkgPlvq4gMrlV2QkQSRCReRHbbQp4rpbiskk2HcpgcG4GXlxWzQ+LXhrdQl+H2Fc6R9LoeWnWAhK8sFvt6ezE+Ooz1KdlUVLVgvt3805C2FWJneoZZqJrYmYZ56OiGFu1mVWImMZ2D6d7BilmoejD0lNUYQECwsU+TtMRi1j4wVsSnzl0gJaOw5eRQChIXGwEWW+AkfbMVgYh4A28DU4ABwCwRqa+yjgPXKaUGAS8DH9Qrv0EpNUQpFddceZrD5kM5lFeamBRjZaOsONf4Mcbe7lkDkbevYQpLXQlllr/sk2IiyL9Q0bKudElLAOVZAxEYsf4D2hkDQQuRXVDKvlPnrX/3ARIWG8EI2/doMTmcktjboSjLOEBqgRujwxGB1S25Is6INwIsDvpZizRvixXBSOCIUuqYUqoc+AKoEw5SKbVVKVW9m7IdI0m907EmOYt2rXwZEWklE1mNfdqDzELVDPwZVF6wumk8tq8RiKtFfwyJXxthgjv2abk+nBEfP2NzNmU5lJe0SBfrUrJRCibGWDkpnJVkHCLzJJNoNX0ngW9rq+ah0CB/4nq0b9nv/oGvwNuvxSLt2kIRdAFO1Xqdbr5mjQeAlbVeK2CNiOwRkYetVRKRh0Vkt4jszsmx/aZkRZWRaGV8VLjlBPVg2Og69jcOWnka3UYah8sSFlksDvTz5rp+oaxOysTUEq50uUcNf25PVMIAA++AimKrCVOay5rkTLqHtKK/tQT1CV8ZIadjbm2R/p0av1bGKe/kpVb3aSbFRHAws5C0XMuhq5uFqcpQQn0nGsHwWgBbKAJLNhKLI4GI3IChCH5d6/I1SqlhGKalx0VkrKW6SqkPlFJxSqm40NDQ5srcgJ3Hz1FQWml9RnT+lLE09DSzUDUixmB0bCMUWs5MNjk2gqyCMvann7d9/9WzMU8ciAB6XGO4LFuZlTaHwtIKth7JZeKAcMsu00pBwtfQ+wb3SMd6JcTebkSCteIwUW1Sa5FVwfHNUJRp/P5aCFsognSgdlaWrkCD2MQiMgj4CJihlMqtvq6UOmN+zAaWYJia7M7a5CwCfL0Y29eKktn/BaBg8J12lcupGPQzI76SFVfGcf3D8fESVifZOIWlyQTxC42Ttu6UAKgpeHkbg9HhNVBi232YTYdyKK8yMdHa/sDJ7ZB/0nNXY2Ds07QOhfgFFou7hbRiQKdg23/3wViN+QdDv8m2b9uMLRTBLqCviPQUET/gLuC72jeISHfgG+BepdShWtdbi0hQ9XNgIpBoA5mahFKKNUmZjOkbSqCfhbMBSl0ciNpH2ls85yG0vxFb6cCXFovbtvLl6t4dWJ1kY1e6k1sN18Wh99iuTVdkyCzjlLcV760rZU1SFiGt/Rjew4rZYd8C8GvjGSfpreHtC4PuhNRVVhPbT4qJYO/JPLILSm3Xb3mJEdJjwHTwtRIS3AY0WxEopSqBJ4DVQAqwSCmVJCKPisij5tt+D3QA3qnnJhoO/Cgi+4GdwPdKqZYxgl6CpDMFnMkvZeIAK2ahtK2Qd1wPRABDZhu5aq0ktp8YE8Hxs8Uczi6yXZ/7FoJfkGeENbgUEQOh0xDY+6nVk65NpbzSxIaD2dwYHYa3JZfpskLDWyv2NvBvY5M+XZYhs8FUAQcs75NNjo1AKcPpxGYkLTHO8AyZbbs2LWCTcwRKqRVKqX5Kqd5KqT+br72nlHrP/PxBpVR7s4tojZuo2dNosPkvprquvVmTlImXwPhoK4ogvnog8uAZUTWDfmYcsNnzicXiSQPMrnS2OmlZVmh4a8XeZmzaeTrD7jVSiJ7ZZ5Pmth/LpbCskokDrJiFEr8xNqmH3meT/lya8AFGfvL4hRYVcb/wNkR2aGXbfYK9n0CHvkbuhxZEnyzG0OBxkSGEtPZrWFhWZJzqjLnFOOXp6bQKMVzYDiyy6MoYZj6VvTrZRj+GpCVGKGa9GjOInWnEyd833ybNrUnOJNDXm2v7WtkE3jff8JTr6tAjPs7D0HsMRZyxv0GRiBF3a9vRXPIv2OAUeHaKEW592H0t7qDi8YogLbeYg5mF1s1CB740ZkTD9IyohuFzoCzfmKlbYFJMBImnC0jPs4HP+555RkgJTwjw1xgC2xmKOGFxs88UmEyKtclZXNcvlABfC3tj2QeNGDvD7vVMTzlLxN5urIj3fmqxeGJMBJUmxQZbhGXf+yl4+cKQu5vf1mXweEWw1mzPs7g0Vgp2fmgcYtID0UV6XGOEgbZmHqpxpWumrTR9D5zeAyMe1ANRbYbdB2UFzXYlTTidT1ZBmXWX6V0fGYeYBt3VrH7cisD2xqG6/V/AhfMNiod2a0dYkH/zzUMVpbD/cyP6rB1cdj1eEaxJyiIqIshyfJUTP0JOCox8WA9EtRGB4XPh1HbIONCgOLJja6Iigpr/Y9j5geGtMnhW89pxN3qMhrAY2PFeszaN1yRn4u0ljIsKa1h44TzEf2aYotrY/tyOSzPyYcNKEL+wQZGXlzAxJpyNqc0My56wyDi3EPfzZgjaeDxaEeQWlbE77Zx1/+mdHxgzAE+LbdMYht5rDNLb/mOxeGJMBLtPnCO36ArjpxflGOcVhtxtBP7SXEQErnrMsFUf33zFzaxJymJUzxDatbKwN7ZvgTHYXfVowzJPp/MQY/N25wcWA9FVh2Xfctiym+llUQq2vWNE2O15XfNkbSQerQjWH8zGpLC8P5CXZoScHnov+FrJ3erJBLYzPpvEr42ooPWYOCAckzI+4ytizzzDZ37EQ80S020ZeAe06gjb372i6sdyijicXWT5u2+qgp3vQ/fRhllU05BRjxhnWw6tbljUswNBAT6sudIV8bENhiXiql/YzRLh0YpgTVIWXdoFEtPZwoxz61sgXjBKz4isctWjxknjne83KIrpHEyXdoFX9mMoL4bt7xjBvkL72UBQN8Q3AEY8YMQeOnukydWr98YmWFoNp3wH50/q1cCliJoGwV3hpzcbmOf8fLwYHxXGupQsKq8kLPu2d6B1mF0D/HmsIigpr2TL4RwmWIqvUpgJe+cbJznbXip+nofTPtI45LV7XoONMxHDVrr58FmKy5qYb3fPPCP+/thf2khQN2XEg+ATAFv+3uSqa5KziO1iKOs6mEyw6XXDUytqmo0EdUO8feHap419shNbGhRPjIkgr6SC3WlNTGF5eq+RH3zkw+DjbxtZG4HHKoLNh85SVmmy7DGx7T/GCcJrnra7XC7HmOcMV1ILewUTB0RQXmliy+EmRIutKIWf3jLCeXRzSNgp16FNmLEqOPBFk1YF2YWl7D2ZZ9lTLvV7yE6Csb/yjFSszWHovUYgwE2vNSi6rl8ofj5erGmq59zGV43cE6MesY2MjcRjFcGa5EzaBvoyMjKkbkHBGdj5keEt0aG3Y4RzJToNggG3GLbqejFYRkS2p30r36a5ke76yIi0OPZXtpXTXbnmKcOvfXPDwcga663lHjCZYOPfIKS3Z6WjvFJ8A4xVwYktcLzuqqC1vw9j+nRkTVNSWKbvgcOrYfSTdneQ8EhFUFllYn1KNuOjwxrmHvjhz0bymXEvOEY4V+SGF4zTv1v+Ueeyj7cX46PDWZ+S1bgUliXnjAGt93jo1bLeEhcqLzSr/uoTq4nPjreNMM2hTRiMfMgIRGfBldcSa5Ks5B7Y/xlkJcANvwVvnxYQ1g0ZPheCu8CaFwxFWouJMeGk510gOaPg8u0oBWt/D4Ehdl8NgIcqgp0nzpF/oaLh0jjjgOEbPOqRZkUZNSkT2zO2Y1ItmL+3FnmleQ0GtrMXzrI5vaFr4dIjSzmef9y2AoT2M4Ji7XzfOBZfi4kDwikorWTHsUaETt78uhFbaOIrtpWvHvHZ8YxcOJKdGTuvuI1fbvol9668t0l1lFJcqLxA6rlUPkr46Ir7bsCY54wBZMWvLnuuoKiskp8s5R4oK4L1fzIOTjbTXbqkooTsEhucrHUFfAPhxj8aISfqnSsYHx2Ol1BjHjIpE3mlVvYMkpZA2o8w/nfgbyU5UAvikYpgbXIW/j5ejO1X68ReVSV89yTHg0M5Gze3We1vOrWJh9Y8xDeHLcftr83m9M0M/GQg50vP11zLKMrg2Y3PWhzI66OUYuyXYxm5cCTjF42npMIIO/CXHX/h8fWPc6607gD84k8vctt3l172P/XDU/xmy294O/7tSw6WeaV5zF4xm8N5h40fg38QfP9cncFojDmF5ZrLxR46vdc4IDVsjhHcq5GcLDhJcUUxf9v5N9amrW3UMnzLaWMZvyd7j/GYtYcpX09h/FfjG9yrlCKtIA2A4opiMooyOHuh8f7hr2x/hX/s/gcF5QW8f+B9Ri4cyazvZ/Hm3jdrJgrV7TYVkzIZ7zewHdz4krFxaSFEeKWpkoGfDOTDAx+yKdVK7oENfzby8k5+tcZlsayqjPnJ86mykrTdGnd9f1edz7KiqgKlFF8d+oqC8ouz47KqMlLPpQJQXlXO5vTN5JTk8NzG5xp8xgfPHeRE/ok613Zm7OT6L6+3+h29UHkBpRQVVRWsObHGtqHRazNwJnQdCev/aOQ1N9OxjT9xPUJqopEuPrSYsV+OJbO43m+htADW/M6ILjtsTsvIeBk8bv1n5B7IYkzfjqxK+451aev40zV/ouOeBZARz/Se3WHZrSTMMcIs/2rTr5jQYwITIydess07l99JyrkU3rvxPQ6fPwzA6SLDv37xocVc1/U6yk3ldGnTBZMycSL/BHllefx1x18BuG/VfbT3b8+7N77LxK+NvtamrWVij4nsyNzBWze8xeDQwWzL2MawsGG8sfsN5sbM5Z4VF4OxZV/IZvaK2dw74F4O5BhmguKKYkICjH2QR9ca7oCVpkrWpq3l2Y3Pcke/O1hyeAl7791bM0P84dQPNW2+x3skzEkgKTeJZUeX8esRv665b1P6Jg7kHGBhykJeGv2SoQyW/R/s+oic2FtYcmQJDw18iOv6hbImKYs/To+xmAHr5yvnsjt7D5+2i0CGzsSUtZdh4cMa3LcwZSFKKfq270tBeQETekxg6pKphASEcK70HAtSFvDs8GcpKC+gW1A30gvTyS7J5pVrX6GkooT1J9dzqvAUHxz4oOb/BjB31dyaPj5O+JixXcdyLP8YkyInMT95Pq/vfp1Pp3zKguQFrElbY/E7kF+Wzxu73+CpYU/RMfDiBOPLVGNgXnp0aY1SrjAZAcnKq8oJ8AngD1v/wOoTq7mmyzXcG30vft5+jIgYwdkLZ9mSvoVtGdt4dvizRLSOYNWJVezJ3MNzcc9xy9JbGNVpFH8c/UdjRbb3U1j5a4i8FtpeTAtePQv94MAHjPaJI6S1H4FtMvjbzg/5fyP+H5K21djjGfFQneBy7+1/j48SPiLnQg7x2fH843rD9CcIHQI7ALAodRGDQwfTP6R/Tb3aK87M4kwmLJ5Q83p/9n7mxMzhqQ1PUVZVRnZJNv3b9yfQJ5D4nHju6HcHa9LWoFC8eNWLPL7ucSb3nMwbu98AYPc9u4lbUDcA3gNrHmDjzzZyqvAUfdr1obSqlKLyIm7+9maeHf4sy48t51DeIQZ0GMDnUz/nfNl5knOTGdhxIOVV5aScS2HTqU1M7TUVEaF7UHc6BHagylSFd70N80WpiwhrFcb13a6vuXahqpSAqX9HPhxH6rJH6PuzL/Ey15sYE84r36dw6lwJiw8tBiCnJIeI1hGknktle8Z25hzZCYVn4I7/WdygLygvwAsv2vi1XBhwaTEt2YLExcWp3bt3X/5GCySdyWf6hwt48oYoPj7+NAA/7zaJZ3/8H/SbzMAyYwCd0nMKr419jYGfDARg0bRFRHeI5uC5g7Tzb8cXB7/geP5xQgJD6BHUg7/vsezC98W0L7hruW1jtfh6+dYMJpcjLjyO3Vm7WTdzHTcuvrHmuo/4UKnqunV+OuVTDp47yF92/KXO9Q8mfMDDa4100oM6DuLA2QP8afSfWJS6iMTcRG7udTNdg7ry5cEvqCjLJ6K8jLOtQ8irKEQQ/hC7gue+2s/Xj43i/7bO4PWxrzO6y2jyy/JZlLqIt/a91UDu+VPmszl9M48NeQxfL182p2/m8fWP17ln3737GDp/6GU/g7fHv826tHUsObKkzvVHBj3CXVF3ccOiGyzWW3zzYmYuu7wvd0TriJpZ3pSeUzh47iDdg7qz9czWS/6fvpj6Bftz9vPXnX9tUPbXMX/lxR9fpEpdnI3fO+Be5icbUUejQqI4eO4gALtm7yI5N5mEkxtp+9O/mdo2Cq97vmXs4nH8Mu6X/H7r7y82XDgcgvbUvLy//yzmbv+M9uJN9pxvGb90OvfH3s8zw5/h5W0vs+iQ5dj7y29dzrQldd1Lx3cfz+tjX2fYAkOJL5q2iFe2v8KBsxf3LjoEdCC3NBdrTOwx0aqyBfD39qes6tKn1YN8gyisKLRa7i3edT5XS0zvPZ3vjn7HP67/BxN6TOCV7a9wVaereGbjMwAkzEngQuUFRi686Nn2Wedp3H1mOY+Ejaa4Qy8WpCzgwQFP8a+lAXTs/w6lposybfjZhprvXcLxkzDmlzD+dyil+Pvuv/NJshHHa/vd27nqs6tq6r046kXujLryLIkisqc6DUCd656mCF5fk8inGQ1j1wyohOR666MHBz5YY8v19fLloYEP8c7+d66oX0/mw/HzmfvVR/iGbGpy3Xui72Ff9j6ScpNaQDL35RqfEH6qbFxKy+AqE99c9yY3/vhMzbW1M9fWmclr6hLkF4SXeJFfll9zbWyXMWw+3fBMgcX6tZTVRFMAa7xK6yj6S1FtrbgSWlQRiMhk4E3AG/hIKfVqvXIxl98ElABzlVJ7G1PXEleqCM6VnuO6L+0Tu0Oj0WhaggP3HbBoYm0M1hRBszeLRcQbeBuYAgwAZolI/d2+KUBf89/DwLtNqGszDmScbKmmNRqNxi5UOy/YElt4DY0EjpjTTpYDXwAz6t0zA/hUGWwH2olIp0bWtRnf/PSXy9+k0Wg0ToyX2N7Z0xYtdgFO1Xqdbr7WmHsaUxcAEXlYRHaLyO6cnCaELKhFcHPig2s0Go0TkJybbPM2baEILBmr6m88WLunMXWNi0p9oJSKU0rFhYZeWaKMV37evIxOrsqYLmMcLYLb88gg+58GdRf23rO3SfdP7GHdlbup9GvvWtFth4cPJ7ZjrM3btYUiSAe61XrdFTjTyHsaU9el+d1Vv2N4+HCLZcPCLvrKhwWGEewXzM/6/azm2p+v/TPdgroxqtMoEuYksG7mOoaGXXSX/GLaF3QP6t6g3WC/YH476rc1r9+58R3i743nyaFPXlLWJdOX1JxXqE39Pvy8LCQyqYePlw+jOo267H225i/XWjb/TetV19Xx6WFP89Osn9g2a1vNtUcHP8q4buNqXq+8bWXN87kxc7k/9v46bcyfMp9pvaZxS59buC/GyGl9fdfrLfYff298g2sDOw5scO3dG9/l1yN+bbGNS3Fzr5v5YuoXTa4Hhtun1JuTBfpcPgfHRxM/4s0b3rRavm7mupozFY8PeZzfjvotC25aAFwczIeFDcPX27emzq/iLsaYWnHbCqb3nl6nzWW3LOPv1/+dRdMWMTlyMtd1vY63x7/Ns8OfZUbvGVzV6aKr5dyYuUzoYd3z6cbuN/L1dMdMDuuPCe/e+C539b+0m3kb3zZ8NPEjugZ1veR9V0KzvYZExAc4BIwHTgO7gLuVUkm17pkKPIHhNTQKeEspNbIxdS3RHPfR6nMBv7vqd7y8/WWr982Ons3ClItHxt+/8X2SzyXTzr8df9z2xzr31vZtjg6J5rejfstLW1/ixh438sTQJyitLCW/LL/Gj//zqZ8T5BdElzZdGDp/KL8Y/AseGPgAvl6+5JbmcsOiG+japisrb19JcUUx/t7++Hhd9G19N/5d3tn/Djvu3kFeWR7x2fH0bd+XQJ9AgnyDaBfQDoBdmbs4eO4g9w64GArhn3v+SRvfNqw4voIbut3AuO7jeH3X67xw1Qt1Zkfv7X+Pt+Pf5m9j/saIiBGM+2ocvxjyC9r4tmFCjwkNXAufHPok0SHRtPI1Un4OCh2Er5fxA88rzeN82Xmmf3vxR/3H0X/kD1v/UPN6Ss8p3B11N+tPrmde0jxu7XNrA7//+nw9/Ws+P/g53x35jnJTOZ9O+ZTokGj+suMvtAtox7q0dZwqPMVvR/2WWVGzav739d3vknOT6dm2Z83g9+rOV2nr35bHBj8GwP6c/cR0iMFLvHht12s134uVt62s86MsLC+ktW9r/rz9zyw6tIj5U+YzKHQQZVVlBPoEsvHURt6Of7vG///la16mvX97Wvm2omfbnnUOolXLWs3K21by2q7X2HBqA78Y/Atu73c7z295nu5B3fnD1cbnKCL8cdsfaw4uAUzoMYG1aWutfoZDw4by6ZRPOV10mslfT665vunOTVz35XUM6jiIN8e9yfH849y/+n4m9JhAlamKf97wT7zEiwpTBcPm1z381yGgAytuW0Er31YsObyE32/9Pbtm7yLAJwCAo+eP0i2oG1tOb2FkxEiC/IK47bvbOJx3mIQ5CQz8ZCDhrcJZd8c6SipKGPWZMaH4xZBf8OigRy/pMbPtzDYeXvswW+7cUvM7qP9Z/m3M3yipLGFi5ESC/YJZmLKQmA4xbE7fzIcJHwLw85if87+k/zVo/8/X/pnpvafz3v73OFd6jocHPVzzfyurKiOtII3PUj5j6ZGlVKpK/nH9P3h247MXG8h4hL2/+gWpecnc/f3dzJs8j85tOhPROqKOrC+MeoGEswkM6DCA9v7tWXx4Me9PeL/mN3WlWPMaQinV7D+MAf4QcBR4wXztUeBR83PB8A46CiQAcZeqe7m/4cOHqyvlRP4JlZafppRSymQyqXf2vaMOZB9Q13x+jVqQvECN/WKsWndinVJKqR1ndqj92ftVeVV5Tf2Kqgo1fP5wFTsvVj2y9hEVOy9WZRRlqJ/Sf1J5F/Jq7jWZTA36jp0Xq2LnxV6x7NWYTCZVWlna7HYux8mCk1bLxi0ap2Lnxao1J9Y0ur05K+eo2HmxKurvT6r8C+WquLxYXbXwKvXijy9avP+LlC/Unsw9auSCkSp2Xqx6YNUD6kLFBXW+9LxKyEmoue/bw9+q2Hmxqqi8qE79eYnzVOy8WJVTkqOUUurVHa/a5PP/5tA3KnZerLpQccFieUlFiVp9fLXFsoqqClVWWaYqqiou2ceZwjM135c397yplFIq+WyyembDM6q4vNhqvYScBBU7L1ZtPLlRfXjgQ2UymdTMd39SE/+5QeVdyFNrT6xVv93yWxU7L1a9vO3lOt/t13e+Xuc7WllVafF7XJ9vDn2jZi2fpd7f/746mndUVVZV1imvMlVdto3yqvKa7/TRvKMqvyxfKWV815/Z8Iz6Mf3Hy7ZhjTOFZ9TJ/JNqXuI8tS9rX6PrHcg+oDad2qRGLBih0gvTm9Tn4+seV7HzYlVJRUnNtdWJGarHr5erLYeM76Olz8VWY4Q1gN3K0hhu6aKz/zVHEdgCk8lU5wfUWG759pYW/Sfbk3f2vaNi58XW/GAbw4WKC2pd6iHV49fL1dL400opddkBUSml9mXtU7HzYtV78e9ZvcfSj6qiqkJlF2c3Wr6m0Bi5m0t5VXmjBtFLkVtUpno+v1z9fU1qo+5fkLxAfXPom2b1qVHqdOFp9e3hb+tcu1BeqaJeXKleXJJgpZbjFIHHxRqyBSKCrzR9ifb51M8pN5W3gET258GBDzK9z3SC/RofNz3AJ4Dr+/ShY5s01iRlMn1w5zomL2sMCRvCwpsWWrSpV2PJpc7Hy4fQVlfmWHA5GiN3c2muGQBgfUqW9bzcFpgdPbvZfWqgc5vOzOhT1xM+wNebsf06sjbZiLvl5dXQxBUSEHLJfY2WQisCOxLgE0AAAY4Wwyb4evvSpU3T03h6ewkTBoSxbH8GZZVV+Ps0LgvWoNBBTe5LY6Sk7Nw2wHJebo3dmTgggtVJWSSczmdwt3YNyjfd2fQwLLbAI8NQaxzLxAERFJVVsvWo9eBjmuZzobzKel5ujUMYHx2Gt5ewOukyYdntjFYEGrszuk8HWvt5Nz2fq6ZJbDmcQ2mFhdwDGofRrpUfo3pezFHgLGhFoLE7/j7eXB8VxtrkLKpMrhf91lVYm5xFcIAPI3uGXP5mjd2YFBPBkewijuYUOVqUGrQi0DiEiQPCOVtURvwpK6n7NM2iyqRYfzCbG6LC8K2fl1vjUCaYN+6daUWsvyEah2AMUMJqJ/oxuBN70vI4V1zeMC+3xuF0bhfIwC5tL5++1Y5oRaBxCMEBvlzduyOrkzJbLpesB7MmKRM/by+u698y7rOa5jEpJpx9J8+TXVDqaFEArQg0DmTigHDScks4nO08tlJ3QCnF2pQsRvfpQBt/7SHujFRv4DvLprFWBBqHUX3IaXWi8yyR3YHD2UWk5ZbU2KI1zkffsDZEdmilFYFGExYcwNDu7Zzmx+AurDH7qE+I1orAWRERJsVEsO3oWQpKKxwtjlYEGscycUAECafzOXP+gqNFcRvWJmcxpFs7woLd4xS7uzIxJpyKKsWGg9mOFkUrAo1jmRRT7UqnzUO2IDO/lP3p+dos5AIM7daejm38nWJFrBWBxqH0Cm1Dn7A2TvFjcAfWphifY7WC1TgvXl7ChAHhbDyYTVmlY9PoakWgcTiTYsLZcfwc50vcIzKrI1mTlEnPjq3pHdrG0aJoGsHEmHCKy6vYesSxcbe0ItA4nIkDIoyTsCmOt5W6MgWlFWw/lquDzLkQo3sbLr6OPlzWLEUgIiEislZEDpsf21u4p5uIbBCRFBFJEpGnapW9JCKnRSTe/HdTc+TRuCYDu7QlIjjA4T8GV+eHlGwqqhSTdJA5l8Hfx5vr+4c6PO5Wc1cEzwPrlVJ9gfXm1/WpBJ5TSkUDVwGPi8iAWuX/VEoNMf+taKY8GhfEy0uYGBPOpkM5XCh3rK3UlVmZmEF4sD9DLcS51zgvE2MiOFtUzr6Tjou71VxFMAP4xPz8E+CW+jcopTKUUnvNzwuBFKDpGU00bs3EARGUVpjYcjjH0aK4JCXllWw6lMOkmAiLma80zsv1/UPx9RaHOkw0VxGEK6UywBjwgbBL3SwikcBQYEety0+IyAER+a8l01Ktug+LyG4R2Z2TowcLd2NUrxCCA3y099AVsinVyD0wOVabhVyN4ABfRjs47tZlFYGIrBORRAt/My5Xt147bYCvgaeVUgXmy+8CvYEhQAbwd2v1lVIfKKXilFJxoaE6kJa74evtxfjocNanZFFZZXK0OC7HqqRM2rfyZWSkzj3gikyMMeJuHcpyTNytyyoCpdSNSqlYC39LgSwR6QRgfrTo9iEivhhKYKFS6ptabWcppaqUUibgQ2CkLd6UxjWZOCCcvJIKdp3QOQqaQlllFT+kZDNhQDg+OveASzIhOhwRxx2sbO635jtgjvn5HGBp/RvE8GP7GEhRSv2jXlmnWi9vBRKbKY/GhRnbLxQ/Hy/tPdREth7JpbCskimxnS5/s8YpCQsOYGg3x8Xdaq4ieBWYICKHgQnm14hIZxGp9gC6BrgXGGfBTfQ1EUkQkQPADcAzzZRH48K09vdhbN+OrEnK0jkKmsCqxEyC/H0Y3aeDo0XRNIOJMUbcrdMOiLvVLEWglMpVSo1XSvU1P54zXz+jlLrJ/PxHpZQopQbVdxNVSt2rlBpoLptevfGs8VwmDojg9PkLJJ0puPzNGiqrTKxJzmRcdBj+Pt6OFkfTDKrDsq91gHlIGxQ1TsX46DC8xHkSdjg7O0+cI6+kgsn6EJnL0yu0DX0dFHdLKwKNU9GhjT9xkSE6GmkjWZWYSYCvTknpLkw0x93KK7Zv3C2tCDROx8QB4RzMLCQtt9jRojg1JpNidVIm1/ULpZWfTknpDlTH3frBzjkKtCLQOB3VsXLWavPQJdl36jxZBWXaW8iNGNTViLu12s4rYq0INE5Ht5BWRHcKtvuPwdVYlZiBr7dwQ9QlD/RrXAgRI+7W5sP2jbulFYHGKZk4IJzdaXmcLSpztChOiVKKFQmZXNunI20DfR0tjsaGTIqxf9wtrQg0TsmkmAiUQq8KrLD35HlOn7/AtEGdHS2KxsaM7BlC20BfViba77uvFYHGKYnuFESv0NYs36+Pllhi+YEz+Hl7MUGnpHQ7fL29mBwTwdrkLEor7GMe0opA45SICNMGdWb78VyyC0odLY5TYTIpViRkcF3/UIIDtFnIHbl5cGeKyirZmGof7yGtCDROy82DOqEUrEjQq4La7DpxjqyCMqYN0t5C7spVvULo2MaPZXZaEWtFoHFa+oYHERURxLIDWhHUZvmBDPx9vLgxWpuF3BUfby+mxHZi/cEsissqW7w/rQg0Ts3NgzuzJy3PIYG4nJHKKhMrEzMYFxVGa399iMyduXlwZ0orTKxLafnzNFoRaJyaavPH9wfOOFgS52Dn8XOcLSrX3kIeQFyP9kQEB9jFPKQVgcap6dGhNYO7trWbrdTZWXYgg1Z+3ozTh8jcHi8vYeqgTmw+lEP+hYqW7atFW9dobMC0QZ1JOJ3PibOeHXuoosrEqsQMxkeHE+inQ057AjcP7kx5lanFgzA2SxGISIiIrBWRw+ZHi8nnReSEOQFNvIjsbmp9jWcz1WweWu7h5qGtR3PJK6nQ3kIexOCubekWEtjiDhPNXRE8D6xXSvUF1ptfW+MGc1KauCusr/FQOrcLZERke483Dy3dd5qgAB+u66dDTnsK1edpfjpylnMtGJq6uYpgBvCJ+fknwC12rq/xEKYN6kxqViGpmYWOFsUhlJRXsiopk6kDOxHgq81CnsTNgzpTZT5E2FI0VxGEV6eXND9a28FSwBoR2SMiD19BfUTkYRHZLSK7c3LsF4xJ4xzcNLAT3l7Ct/GnHS2KQ1iTlEVJeRW3DO3iaFE0dia6UxB9wtrwXXzLmUYvqwhEZJ2IJFr4m9GEfq5RSg0DpgCPi8jYpgqqlPpAKRWnlIoLDdVLY08jNMif6/qF8u2+01SZPC+x/ZJ9p+nSLpCRkSGOFkVjZ0SEW4d2YeeJc5w6V9IifVxWESilblRKxVr4WwpkiUgns7CdAIuBMZRSZ8yP2cASYKS5qFH1NRqA24Z1ISO/lO3Hch0til3JLixly+EcZgzpjJeXOFocjQOYMcQ4N7K0hVbEzTUNfQfMMT+fAyytf4OItBaRoOrnwEQgsbH1NZpqbowOJyjAh6/3pjtaFLuybH8GJgW3arOQx9K1fStG9gxhyb7TKGX7FXFzFcGrwAQROQxMML9GRDqLyArzPeHAjyKyH9gJfK+UWnWp+hqNJQJ8vZk2qBOrEjPtEn/FWViyL53YLsH0DQ9ytCgaB3Lr0C4czSkm4XS+zdtuVrASpVQuMN7C9TPATebnx4DBTamv0Vjj1qFd+XznKVYnZXLbsK6OFqfFOZxVSOLpAn43bYCjRdE4mJsGdmLb0Vz8fGx/DlifLNa4FHE92tMtJJBv9nqG99CSfafxErh5sD5E5um0DfTlrVlDiYoItnnbbhO+sKKigvT0dEpLdRITgICAALp27Yqvr3slLvHyEm4d2pV//3CYjPwLdGob6GiRWowqk2LJvtOM6RtKWFCAo8XRuDFuowjS09MJCgoiMjISEc/2rFBKkZubS3p6Oj179nS0ODbntqFdeGv9Yb7dd4bHru/taHFajM2Hc8jIL9VmIU2L4zamodLSUjp06ODxSgAMv+MOHTq47eoosmNrhvdoz1d7TrWIB4WzsGjXKUJa++kENJoWx20UAaCVQC3c/bO4a0Q3juUUs+tEnqNFaRHOFpWxNjmL24Z2aZHNQY2mNvobpnFJpg7qRJC/D5/vPOloUVqEJXtPU2lS3Dmim6NF0XgAWhHYkNGjR9u8zRMnTvDZZ5/ZvF1Xp5WfD7cM7cL3CRmcL2m5qIyOQCnFl7tPMbR7O312QGMXtCKwIVu3brV5m1oRWOeukd0orzSxZJ97uZLuPXmeI9lF3BmnVwMa++A2XkO1+eOyJJLPFNi0zQGdg/nDzTGXvKdNmzYUFRWxceNGXnrpJTp27EhiYiLDhw9nwYIFiAiRkZHceeedbNiwAYDPPvuMPn36MHfuXKZNm8bMmTPrtPX888+TkpLCkCFDmDNnDs8884xN35crE9O5LYO7tuWLnaeYO9p9vMW+3HWSVn7eTBus8xJr7INeEbQQ+/bt41//+hfJyckcO3aMn376qaYsODiYnTt38sQTT/D0009fsp1XX32VMWPGEB8fr5WABe4a2Z3UrEL2njzvaFFsQn5JBd/tP8P0wZ1p4++W8zSNE+KW37TLzdztwciRI+na1QiBMGTIEE6cOMG1114LwKxZs2oe9eDePG4e3JlXlifz+c6TDO/h+plOv9pzitIKE/ddHeloUTQehF4RtBD+/v41z729vamsvBgkrbYJo/q5j48PJpMJMDYLy8vdawO0pWjj78OMoV1Ytv9Mi6byswcmk2L+9jRGRLZnQGfbhxHQaKyhFYED+PLLL2ser776agAiIyPZs2cPAEuXLqWiogKAoKAgCgs9Mz1jY5k7OpKySpPLu5JuOpxDWm4J9+rVgMbOaEXgAMrKyhg1ahRvvvkm//znPwF46KGH2LRpEyNHjmTHjh20bt0agEGDBuHj48PgwYNr7tXUpV94ENf06cD8bWlUVJkcLc4V8+nWE4QG+TM5JsLRomg8DHHFI/pxcXFq9+7dda6lpKQQHR3tIIkaT2RkJLt376Zjx44t3perfCa2YF1yFg9+upv/3D2UaYNcz9smLbeY69/YyP+N68szE/o5WhyNmyIie5RScfWv6xWBxi0YFxVGjw6t+N9PJxwtyhUxb+sJvEW4e1R3R4ui8UCapQhEJERE1orIYfNjA7cNEekvIvG1/gpE5Glz2UsicrpW2U3NkccVOHHihF1WA56Gl5dw39WR7EnL40D6eUeL0yTySyr4ctcppg/uTHiwDjetsT/NXRE8D6xXSvUF1ptf10EplaqUGqKUGgIMB0owEthX88/qcqXUivr1NZrGckdcV1r7efPRluOOFqVJLNiRRkl5FQ+N7eVoUTQeSnMVwQzgE/PzT4BbLnP/eOCoUiqtmf1qNA0IDvBl9lU9WH7gDCdzSxwtTqMorajifz+dYGy/UKI7aZdRjWNoriIIV0plAJgfwy5z/13A5/WuPSEiB0Tkv5ZMS9WIyMMisltEdufk5DRPao3b8sC1PfHx8uK9zUcdLUqjWLLvNGeLynhUrwY0DuSyikBE1olIooW/GU3pSET8gOnAV7Uuvwv0BoYAGcDfrdVXSn2glIpTSsWFhoY2pWuNBxEeHMDMuK4s3p1OVoFzJ+apMik+3HKM2C7BXN27g6PF0Xgwl1UESqkblVKxFv6WAlki0gnA/Jh9iaamAHuVUlm12s5SSlUppUzAh8DI5r0dx2ItDPXcuXNZvHjxFbX50ksv8cYbbzRHLI/j0bG9qTSZ+PhH594rWH7gDMdyinnsuj5uEzBP45o01zT0HTDH/HwOsPQS986inlmoWomYuRVIbKY8DqUlwlBrmk73Dq2YPrgzC7ankeekYSeqTIo31x8mKiKIKbH6AJnGsTQ36NyrwCIReQA4CdwBICKdgY+UUjeZX7cCJgCP1Kv/mogMARRwwkL5lbHyechMsElTNUQMhCmvXvKW6tDRSimefPJJfvjhB3r27Fknr+6ePXt49tlnKSoqomPHjsybN49OnTrx4Ycf8sEHH1BeXk6fPn2YP38+rVq1su178CB+cUMflu4/w3ubjvKbm5zvUN13+09zLKeYd2cPw8tLrwY0jqVZKwKlVK5SarxSqq/58Zz5+plqJWB+XaKU6qCUyq9X/16l1ECl1CCl1PTqjWdXZ8mSJaSmppKQkMCHH35Ys1KoqKjgySefZPHixezZs4f777+fF154AYDbbruNXbt2sX//fqKjo/n4448d+RZcnn7hQdw6pAvztp4gM9+59goqq0y8tf4IURFBTNLhJDROgFuGob7czL2l2bx5M7NmzcLb25vOnTszbtw4AFJTU0lMTGTChAkAVFVV0amTYR1LTEzkxRdf5Pz58xQVFTFp0iSHye8uPDOhH8sOnOGtHw7zl1sHOlqcGr7Ze5rjZ4t5757hejWgcQrcUxE4AZY2/5RSxMTEsG3btgZlc+fO5dtvv2Xw4MHMmzePjRs32kFK96ZbSCtmjezOwh0neWhML3p2bO1okSguq+SNNakM7d6OSTHhjhZHowF0rKEWYezYsXzxxRdUVVWRkZFRk5ayf//+5OTk1CiCiooKkpKSACgsLKRTp05UVFSwcOFCh8nubjwxrg9+3l68tuqgo0UB4P3Nx8guLOPFqQO0p5DGadCKoAW49dZb6du3LwMHDuSxxx7juuuuA8DPz4/Fixfz61//msGDBzNkyJCa/YOXX36ZUaNGMWHCBKKiohwpvlsRFhTAL67vzcrETH48fNahsmTml/LB5qNMHdTJLbKpadwHHYbajdGfiUFpRRUT/7kZX29h5VNj8fNxzPzn/z7fx6rETNY/dx3dQrRHmMb+6DDUGo8lwNebP9w8gKM5xXyy9YRDZNh0KIfv9p/hset7ayWgcTq0ItB4BOOjwxkXFcY/1x2ye0C6C+VVvPhtAr1CW/OLG3rbtW+NpjFoRaDxGF65JRZvEX61eD8mk/1Mov9Ym8qpcxf4y60D8ffxtlu/Gk1j0YpA4zF0bhfI724ewI7j5/hk2wm79PnTkbN8uOU4s0d156peOrCcxjnRikDjUdwxvCvjosJ4deVBEk/nX75CM8grLufZRfH0Cm3Ni1MHtGhfGk1z0IpA41GICK/NHET7Vn48tnAP+SUVLdJPlUnx9JfxnCsu5627hhLop01CGudFKwIHMW/ePM6cOXPF9U+cOMFnn31mQ4k8h45t/HnnnmFk5pfy9Jf7qKwy2byPv606yKZDObw0PYbYLm1t3r5GY0u0InAQWhE4lmHd2/PS9Bg2pObwwpJEbHmeZuGOND7YfIz7ru7B7FE9bNauRtNSuGWsob/t/BsHz9k2pEBUSBS/HvnrS97zj3/8g//+978APPjgg9xyyy1MmzaNxEQjzcIbb7xBUVERsbGx7N69m9mzZxMYGMi2bduIjo7mzjvvrAlH8dlnn9GnTx/mzp3LtGnTmDlzJnAx1PXzzz9PSkoKQ4YMYc6cOTzzzDM2fb+ewOxRPcjML+XfPxyhXStfnp8S1eywD1/vSefFbxMZFxXG76bpfQGNa6BXBDZiz549/O9//2PHjh1s376dDz/8kLy8PIv3zpw5k7i4OBYuXEh8fDyBgYEABAcHs3PnTp544gmefvrpS/b36quvMmbMGOLj47USaAbPTujHPVd15/3Nx/jtkkSqmuFWOu+n4/xq8X6u6d2Rd2YPw9db/7w0roFbrgguN3NvCX788UduvfVWWrc2IlzedtttbNmypUltzJo1q+ZRD+72QUR4eUYsbQN9eXvDUdLzSvjnnUPo2Ma/0W2UVlTx5+9TmL89jQkDwnnrrqEE+OrNYY3r0Kwpi4jcISJJImISkQbxK2rdN1lEUkXkiIg8X+t6iIisFZHD5keXjcRlycZ8/vx5TKaLG5GlpZdOkFLbLFH93MfHp6YNpRTl5c6ZetGVERF+NSmKv942kJ3HzzH5X1tYsi+9UYfOth3NZfp/fmT+9jQevLYn790zXHsIaVyO5q5dE4HbgM3WbhARb+BtjOT1A4BZIlJtPH0eWK+U6gusN792ScaOHcu3335LSUkJxcXFLFmyhClTppCdnU1ubi5lZWUsX7685v6goCAKCwvrtPHll1/WPF599dUAREZGsmfPHgCWLl1KRUWF1fqa5jFrZHeWPnENndoG8MyX+7nprS18uu0E6Xl1Q1KcKy5nafxp7v5wO7M+3E5haSWf3D+SF6cNwFsnmtG4IM0yDSmlUsByEpZajASOKKWOme/9ApgBJJsfrzff9wmwEbC/XccGDBs2jLlz5zJy5EjA2CweMWIEv//97xk1ahQ9e/asE1567ty5PProozWbxQBlZWWMGjUKk8nE559/DsBDDz3EjBkzGDlyJOPHj68xPQ0aNAgfHx8GDx7M3LlztSnJRkRFBLP08Wv4Nv40H205zu+XJvH7pUm0DfSlXStfisuqOFtUBkCXdoH8ZkoUc0ZHalOQxqWxSRhqEdkI/FIptdtC2UxgslLqQfPre4FRSqknROS8UqpdrXvzlFIWzUMi8jDwMED37t2Hp6Wl1Sl39ZDLkZGR7N69m44dO9qsTVf/TByNUorUrEK2H83laE4x+RcqaO3vTfeQ1sRFtmd49/Y61aTGpbAWhvqyKwIRWQdYyrD9glJqaWP6tnCtydpHKfUB8AEY+QiaWl+jaSoiQlREMFERwY4WRaNpUS6rCJRSNzazj3SgW63XXYHqk1RZItJJKZUhIp2A7Gb25bKcOHHC0SJoNBoPxR6OzruAviLSU0T8gLuA78xl3wFzzM/nAI1ZYVjFFbOttRT6s9BoNI2lue6jt4pIOnA18L2IrDZf7ywiKwCUUpXAE8BqIAVYpJRKMjfxKjBBRA4DE8yvr4iAgAByc3P1AIihBHJzcwkICHC0KBqNxgVwm5zFFRUVpKenX9ZX31MICAiga9eu+Pr6OloUjUbjJFzxZrGr4OvrS8+ePR0thkaj0bgcOhiKRqPReDhaEWg0Go2HoxWBRqPReDguuVksIjlA2mVvtExH4KwNxXEF9Hv2DPR79gya8557KKVC6190SUXQHERkt6Vdc3dGv2fPQL9nz6Al3rM2DWk0Go2HoxWBRqPReDieqAg+cLQADkC/Z89Av2fPwObv2eP2CDQajUZTF09cEWg0Go2mFloRaDQajYfjUYpARCaLSKqIHBERl82P3FhEpJuIbBCRFBFJEpGnHC2TPRARbxHZJyLLL3+36yMi7URksYgcNP+vr3a0TC2NiDxj/k4nisjnIuJ2oXZF5L8iki0iibWuhYjIWhE5bH60mNGxqXiMIhARb+BtYAowAJglIgMcK1WLUwk8p5SKBq4CHveA9wzwFEbIc0/hTWCVUioKGIybv3cR6QL8HxCnlIoFvDHynLgb84DJ9a49D6xXSvUF1ptfNxuPUQTASOCIUuqYUqoc+AKY4WCZWhSlVIZSaq/5eSHGANHFsVK1LCLSFZgKfORoWeyBiAQDY4GPAZRS5Uqp8w4Vyj74AIEi4gO04mLWQ7dBKbUZOFfv8gzgE/PzT4BbbNGXJymCLsCpWq/TcfNBsTYiEgkMBXY4WJSW5l/A/wNMDpbDXvQCcoD/mc1hH4lIa0cL1ZIopU4DbwAngQwgXym1xrFS2Y1wpVQGGBM9IMwWjXqSIhAL1zzCd1ZE2gBfA08rpQocLU9LISLTgGyl1B5Hy2JHfIBhwLtKqaFAMTYyFzgrZrv4DKAn0BloLSL3OFYq18aTFEE60K3W66644XKyPiLii6EEFiqlvnG0PC3MNcB0ETmBYfobJyILHCtSi5MOpCulqld6izEUgztzI3BcKZWjlKoAvgFGO1gme5ElIp0AzI/ZtmjUkxTBLqCviPQUET+MzaXvHCxTiyIigmE7TlFK/cPR8rQ0SqnfKKW6KqUiMf6/Pyil3HqmqJTKBE6JSH/zpfFAsgNFsgcngatEpJX5Oz4eN98gr8V3wBzz8znAUls06japKi+HUqpSRJ4AVmN4GfxXKZXkYLFammuAe4EEEYk3X/utUmqF40TStABPAgvNE5xjwM8dLE+LopTaISKLgb0YnnH7cMNQEyLyOXA90FFE0oE/AK8Ci0TkAQyFeIdN+tIhJjQajcaz8STTkEaj0WgsoBWBRqPReDhaEWg0Go2HoxWBRqPReDhaEWg0Go2HoxWBRqPReDhaEWg0Go2H8/8B4czZs214EDYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x, A = compute_tuning_curves(encoder_A, gain_A, bias_A)\n",
    "x, B = compute_tuning_curves(encoder_B, gain_B, bias_B)\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(x, A)\n",
    "plt.title(\"Tuning curves for population A\")\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(x, B)\n",
    "plt.title(\"Tuning curves for population B\")\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(times, inputs, label=\"input\")\n",
    "plt.plot(times, ideal, label=\"ideal\")\n",
    "plt.plot(times, outputs, label=\"output\")\n",
    "plt.title(\"Simulation results\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
